Date | Description | Weeks |
2/6/2025 | Introduction | Week 1 |
2/11/2025, 2/13/2025 | Basic Python programming; Getting data | Week 2 |
2/18/2025, 2/20/2025 | Working with data, cleaning and manipulating data; Machine Learning | Week 3 |
2/25/2025, 2/27/2025 | k-Nearest Neighbor; Naive Bayes | Week 4 |
3/4/2025, 3/6/2025 | Simple Linear Regression; Multiple regression | Week 5 |
3/11/2025, 3/13/2025 | Logistic Regression; Practical data analysis catch-up | Week 6 |
3/18/2025, 3/20/2025 | Catch-up and review. Mid-term exam | Week 7 |
3/25/2025, 3/27/2025 (Spring break, no class) | Spring break | Week 8 |
4/1/2025, 4/3/2025 | (Extended spring break on Tuesday)Review mid term, Cloud computing(Google Cloud), Data Ethics Invited talk and discussion about Ethics in data science | Week 9 |
4/8/2025, 4/10/2025 | Decision Tree, Neural Networks | Week 10 |
4/15/2025, 4/17/2025 | Catch-up for homework of decision, coronavirus prediction, neural network and final project. Clustering, Natural Language Processing, Network analysis and recommender system | Week 11 |
4/22/2025, 4/24/2025 | Databases and SQL | Week 12 |
4/29/2025, 5/1/2025 | Catch-up | Week 13 |
5/6/2025, 5/8/2025 | Topics of Data science on social networks, finance data, text mining, bio-tech analysis, web data. | Week 14 |
5/13/2025, 5/15/2025 | Data science in Business, Biology, Geoscience, etc. Final project presentation (Report due on May 24th) Final Exams Review | Week 15 |
Final exam week | Wednesday, May 21st, 10:30 a.m. - 12:30 p.m. | Week 16 |